d79b3744cb
This change remove `BaseComponent`'s: - run_raw - run_batch_raw - run_document - run_batch_document - is_document - is_batch Each component is expected to support multiple types of inputs and a single type of output. Since we want the component to work out-of-the-box with both standardized and customized use cases, supporting multiple types of inputs are expected. At the same time, to reduce the complexity of understanding how to use a component, we restrict a component to only have a single output type. To accommodate these changes, we also refactor some components to remove their run_raw, run_batch_raw... methods, and to decide the common output interface for those components. Tests are updated accordingly. Commit changes: * Add kwargs to vector store's query * Simplify the BaseComponent * Update tests * Remove support for Python 3.8 and 3.9 * Bump version 0.3.0 * Fix github PR caching still use old environment after bumping version --------- Co-authored-by: ian <ian@cinnamon.is>
74 lines
2.2 KiB
Python
74 lines
2.2 KiB
Python
from unittest.mock import patch
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from langchain.llms import AzureOpenAI as AzureOpenAILC
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from langchain.llms import OpenAI as OpenAILC
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from openai.types.completion import Completion
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from kotaemon.llms.base import LLMInterface
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from kotaemon.llms.completions.openai import AzureOpenAI, OpenAI
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_openai_completion_response = Completion.parse_obj(
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{
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"id": "cmpl-7qyNoIo6gRSCJR0hi8o3ZKBH4RkJ0",
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"object": "text_completion",
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"created": 1392751226,
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"model": "gpt-35-turbo",
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"system_fingerprint": None,
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"choices": [
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{
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"text": "completion",
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"index": 0,
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"finish_reason": "length",
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"logprobs": None,
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}
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],
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"usage": {"completion_tokens": 20, "prompt_tokens": 2, "total_tokens": 22},
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}
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)
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@patch(
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"openai.resources.completions.Completions.create",
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side_effect=lambda *args, **kwargs: _openai_completion_response,
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)
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def test_azureopenai_model(openai_completion):
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model = AzureOpenAI(
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openai_api_base="https://test.openai.azure.com/",
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openai_api_key="some-key",
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openai_api_version="2023-03-15-preview",
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deployment_name="gpt35turbo",
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temperature=0,
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request_timeout=60,
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)
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assert isinstance(
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model.agent, AzureOpenAILC
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), "Agent not wrapped in Langchain's AzureOpenAI"
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output = model("hello world")
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assert isinstance(
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output, LLMInterface
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), "Output for single text is not LLMInterface"
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@patch(
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"openai.resources.completions.Completions.create",
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side_effect=lambda *args, **kwargs: _openai_completion_response,
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)
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def test_openai_model(openai_completion):
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model = OpenAI(
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openai_api_base="https://test.openai.azure.com/",
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openai_api_key="some-key",
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openai_api_version="2023-03-15-preview",
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deployment_name="gpt35turbo",
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temperature=0,
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request_timeout=60,
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)
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assert isinstance(
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model.agent, OpenAILC
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), "Agent is not wrapped in Langchain's OpenAI"
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output = model("hello world")
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assert isinstance(
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output, LLMInterface
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), "Output for single text is not LLMInterface"
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